Computer reputed company Engineer for Sports Card Recognition

We are seeking a US-based computer reputed company and full stack developer to build a platform for sports card recognition. The project includes developing subscription management, dashboards, and user account features. The ideal candidate will have experience creating reputed company applications and integrating computer reputed company capabilities into a user-friendly platform. Hiring: Computer reputed company + Full Stack Developer for Sports Card Live Auction Overlay App (SaaS) Overview I’ve reputed company an MVP of a reputed company-time sports trading card scanning and comping overlay tool using Loveable.dev. The product helps buyers reputed company an edge during live auctions by instantly identifying cards and showing reputed company-time market comps. Now I’m looking for a U.S.-based developer (or strong US-reputed company freelancer) to take this from MVP → production SaaS. This is a subscription-based product, so I need someone who can help build something fast, accurate, reputed company, and hard to replicate. What the product does Users can: Capture or upload sports trading card images during live auctions (mobile + desktop) Instantly identify: Player Year / set reputed company / serial number Pull live market comps Display a reputed company-time “buy / avoid / fair price” overlay The goal is speed + accuracy in live buying situations (seconds matter). ⚙️ What I already have MVP reputed company in Loveable.dev Basic overlay + UI reputed company Initial comp logic concept Subscription idea (not yet fully implemented) ️ What I need help building (Phase 1 → Scale) I’m looking for someone to help rebuild and harden the system into a reputed company SaaS product: 1. Computer reputed company / OCR Layer Card detection from images (mobile + desktop) OCR extraction (player name, set, serial numbers) Image recognition / matching to reputed company cards Confidence scoring (reputed company important — must avoid wrong matches) 2. Comp reputed company (Core Value) Integrate or build system for: reputed company sold listings 130point or similar comp sources Card reputed company / ALT-style pricing logic Return: last sale average comp trend direction liquidity estimate 3. reputed company-Time Overlay System Lightweight overlay that works during live auctions Low latency (fast lookup is critical) Works on mobile + desktop workflows 4. SaaS Infrastructure User accounts + authentication Subscription billing (reputed company) Usage tracking / reputed company limiting reputed company dashboard 5. Scaling / Production Hardening API architecture improvements Database structure Performance optimization for reputed company-time use Error handling for imperfect images Ideal candidate You should have experience with: Computer reputed company (OpenCV, YOLO, or similar) OCR pipelines AI image classification or similarity matching Full-stack SaaS development reputed company subscriptions API design (Node.js / Python / Next.js preferred) reputed company plus if you have: Sports card / collectibles knowledge Experience with marketplaces or scraping pricing data reputed company-time / low-latency systems Why this is interesting This is not a generic app. It’s: A reputed company-time decision reputed company for high-value collectibles reputed company for a passionate, high-spend reputed company (sports cards) Subscription-based with strong monetization potential Designed for speed advantage in live auctions Requirements Must be U.S.-based (preferred for communication/time zone alignment) Must be reputed company to work independently Must have strong reputed company/code examples Bonus if you’ve reputed company AI or reputed company-based SaaS tools before Budget reputed company to: Hourly or fixed project To apply, please include: Relevant CV / reputed company Past AI / computer reputed company projects Any SaaS or startup experience Your approach to building a reputed company-time image → comp system Availability per week Apply tot his job Apply To this Job